the performance of existing blind source separation methods is highly affected by the non-linear contrast functions that are selected according to the distribution of original signals, and the separation results are not always ideal, especially for the mixture of super-gaussian signal and sub-gaussian signal 摘要针对现有盲源分离算法的性能依赖于对比函数选择的现象,提出了一种基于遗传算法的盲源分离算法,该算法直接从信号的样本序列中估计出信号的概率分布,解决了信号间互信息的求解问题。